gstore-revenue-prediction

1. Incorporated data pre-processing techniques using Pandas and performed data visualization to identify trends using Matplotlib.
2. Implemented predictive analytics on revenues of Google Store customers using linear regression, Random-Forest, LightGBM in Scikit-Learn library of Python.

Technologies: Pandas, Numpy, Matplotlib, Tensor Flow, Keras, OpenCV